Full_Name: Yves Rosseel
Version: 2.2.1
OS: i686-pc-linux-gnu
Submission from: (NULL) (157.193.116.152)
Dear developers,
For the single-model case, the anova.mlm() function does not seem to handle
multi-parameter predictors (eg factors) correctly. A toy example illustrates the
problem:
Y <- cbind(rnorm(100),rnorm(100),rnorm(100))
A <- factor(rep(c(1,2,3,4), each=25))
fit <- lm(Y ~ A)
anova.mlm(fit)
gives
Error in T %*% ss[[i]] : non-conformable arguments
I think the problem lies in the computation of the 'ss' terms (line 237 in the
file mlm.R in the source code). Changing this (and the following line) by
something similar to what is done in summary.manova seems to resolve the
problem:
comp <- as.matrix(fit$effects)[seq(along=asgn), ,drop=FALSE]
uasgn <- unique(asgn)
nterms <- length(uasgn)
ss <- list(nterms)
df <- numeric(nterms)
for(i in seq(nterms)) {
ai <- (asgn == uasgn[i])
ss[[i]] <- crossprod(comp[ai, ,drop=FALSE])
df[i] <- sum(ai)
}
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